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Apache Kafka Training Courses

Local, instructor-led live Apache Kafka training courses demonstrate through interactive discussion and hands-on practice how to set up and operate a Kafka message broker.

Kafka training is available as "onsite live training" or "remote live training". The Philippines onsite live Apache Kafka trainings can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.

Kafka training courses cover integration of Kafka with other Big Data systems as well as how to set up real-time data pipelines for streaming applications.

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Testimonials

★★★★★

★★★★★

What did you like the most about the training?:
Practical examples.

Jorge Creixell - Fyber GmbH

Course: Distributed Messaging with Apache Kafka

What did you like the most about the training?:
Interactivity.

Alan Daud - Fyber GmbH

Course: Distributed Messaging with Apache Kafka

A very professional good style which created an open and positive atmosphere among all participants.

Heiko Michel - Lufthansa Systems GmbH & Co KG

Course: Distributed Messaging with Apache Kafka

Informative and had correct level of detail I believe.

Asif Akhtar

Course: Distributed Messaging with Apache Kafka

I really was benefit from the easy to follow.

Zach Henke

Course: Distributed Messaging with Apache Kafka

The exercises, and especially when they didn't work (obviously my fault but fault finding is part of the job).

Peter Hendriks

Course: Distributed Messaging with Apache Kafka

I found the programming example interesting.

Rostislaw Krassow

Course: Distributed Messaging with Apache Kafka

I mostly liked the knowledge of the Trainer.

Christian Langer

Course: Distributed Messaging with Apache Kafka

I genuinely liked the detail explanations, well prepared document.

Allen Jeong

Course: Distributed Messaging with Apache Kafka

I was benefit from the practical advice (for Kafka configuration and management).

OLAmobile

Course: Distributed Messaging with Apache Kafka

I was benefit from the practical examples, trainer new what he is talking about.

Rumos

Course: Distributed Messaging with Apache Kafka

The trainer really knows Kafka very well, and has a lot of production experience in the matter.

Matej Puntra

Course: Distributed Messaging with Apache Kafka

The training was steered in the direction what the team wanted. The trainer is too good with vast experience in handling concepts like capability, performance, development and deployment standards and very swift in the training in addressing queries from different levels like regarding code, design, architecture and best practices etc.

Sarita Velagapudi - Welcome Real-time (ASPAC) Pte Ltd

Course: Distributed Messaging with Apache Kafka

Concepts, the way it presented, very communicative, very helpful, wide knowledge.

Sreenivasulu Narasingu - Welcome Real-time (ASPAC) Pte Ltd

Course: Distributed Messaging with Apache Kafka

I mostly enjoyed the amount of topics covered.

Ipreo

Course: Distributed Messaging with Apache Kafka

Be able to talk easily with the trainer.

VSC Technologies

Course: Distributed Messaging with Apache Kafka

The instructor gives his time in explaining the topics and we see a lot in detail in question of installation of the necessary software to have kafka corriendp

Kafka Course Outlines

This course is for enterprise architects, developers, system administrators and anyone who wants to understand and use a high-throughput distributed messaging system. If you have more specific requirements (e.g. only system administration side), this course can be tailored to better suit your needs.

This instructor-led, live training introduces the principles behind messaging systems and distributed stream processing, while walking participants through the creation of a sample Samza-based project and job execution.

By the end of this training, participants will be able to:

- Use Samza to simplify the code needed to produce and consume messages.- Decouple the handling of messages from an application.- Use Samza to implement near-realtime asynchronous computation.- Use stream processing to provide a higher level of abstraction over messaging systems.

Audience

- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Kafka Streams is a client-side library for building applications and microservices whose data is passed to and from a Kafka messaging system. Traditionally, Apache Kafka has relied on Apache Spark or Apache Storm to process data between message producers and consumers. By calling the Kafka Streams API from within an application, data can be processed directly within Kafka, bypassing the need for sending the data to a separate cluster for processing.

In this instructor-led, live training, participants will learn how to integrate Kafka Streams into a set of sample Java applications that pass data to and from Apache Kafka for stream processing.

By the end of this training, participants will be able to:

- Understand Kafka Streams features and advantages over other stream processing frameworks- Process stream data directly within a Kafka cluster- Write a Java or Scala application or microservice that integrates with Kafka and Kafka Streams- Write concise code that transforms input Kafka topics into output Kafka topics- Build, package and deploy the application

Audience

- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Notes

- To request a customized training for this course, please contact us to arrange

Stream Processing refers to the real-time processing of "data in motion", that is, performing computations on data as it is being received. Such data is read as continuous streams from data sources such as sensor events, website user activity, financial trades, credit card swipes, click streams, etc. Stream Processing frameworks are able to read large volumes of incoming data and provide valuable insights almost instantaneously.

In this instructor-led, live training (onsite or remote), participants will learn how to set up and integrate different Stream Processing frameworks with existing big data storage systems and related software applications and microservices.

By the end of this training, participants will be able to:

- Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming- Understand and select the most appropriate framework for the job- Process of data continuously, concurrently, and in a record-by-record fashion- Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc.- Integrating the most appropriate stream processing library with enterprise applications and microservices

Audience

- Developers- Software architects

Format of the Course

- Part lecture, part discussion, exercises and heavy hands-on practice

Notes

- To request a customized training for this course, please contact us to arrange.

This instructor-led, live training (onsite or remote) is aimed at engineers who wish to use Confluent (a distribution of Kafka) to build and manage a real-time data processing platform for their applications.

Apache Kafka is a distributed streaming platform. It is de facto a standard for building data pipelines and it solves a lot of different use-cases around data processing: it can be used as a message queue, distributed log, stream processor, etc.

We'll start with some theory behind data pipelines in general, then continue with fundamental concepts behind Kafka. We'll also discover important components like Kafka Streams and Kafka Connect.

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